| --- |
| license: apache-2.0 |
| task_categories: |
| - video-text-to-text |
| - visual-question-answering |
| - image-text-to-text |
| language: |
| - en |
| tags: |
| - llava |
| - multimodal |
| - video |
| - spatial-reasoning |
| size_categories: |
| - 10M<n<100M |
| configs: |
| - config_name: viewer_caption_30s |
| data_files: |
| - split: preview |
| path: viewer/caption_30s.parquet |
| - config_name: viewer_caption_60s |
| data_files: |
| - split: preview |
| path: viewer/caption_60s.parquet |
| - config_name: viewer_caption_180s |
| data_files: |
| - split: preview |
| path: viewer/caption_180s.parquet |
| - config_name: viewer_caption_gt10min |
| data_files: |
| - split: preview |
| path: viewer/caption_gt10min.parquet |
| - config_name: viewer_spatial |
| data_files: |
| - split: preview |
| path: viewer/spatial.parquet |
| --- |
| |
| # LLaVA-OneVision-2-Data |
|
|
| Training data for the LLaVA-OneVision-2 multimodal model family, covering large-scale video and spatial reasoning corpora used in mid-training. |
|
|
| ## Dataset Composition |
|
|
| | Subset | Format | Description | |
| |---|---|---| |
| | `mid_training_video/60s_rest/` | WebDataset (`.tar`) | 10,809 shards of ~60s video clips | |
| | `mid_training_video/caption_v0/split_30s.jsonl` | JSONL | Captions for 30-second video clips | |
| | `mid_training_video/caption_v0/split_60s.jsonl` | JSONL | Captions for 60-second video clips | |
| | `mid_training_video/caption_v0/split_180s.jsonl` | JSONL | Captions for 180-second video clips | |
| | `mid_training_video/caption_v0/split_gt10min.jsonl` | JSONL | Captions for >10-minute video clips | |
| | `spatial/` | WebDataset (`.tar`) | 84 shards of spatial reasoning data (refcoco, visual genome, pointing, 3D, etc.) | |
| | `mid_training_video/mapping/mapping_{5s,10s,30s,60s,180s,gt10min}.csv` | CSV | Maps each video clip's `dst_path` to its source `youtube_id` and `[start_time, end_time]` window | |
|
|
| ## Preview Configs |
|
|
| The `viewer_*` configs above expose small Parquet samples so the Hugging Face Dataset Viewer can render the data directly in the browser: |
|
|
| - **`viewer_caption_30s`** — 5 caption samples from 30-second clips |
| - **`viewer_caption_60s`** — 5 caption samples from 60-second clips |
| - **`viewer_caption_180s`** — 3 caption samples from 180-second clips |
| - **`viewer_caption_gt10min`** — 1 caption sample from >10-minute clips |
| - **`viewer_spatial`** — 10 spatial-reasoning samples with embedded thumbnail images, mixed across tasks (refcoco, visual genome, pointing, ca1m, osd, crosspoint, erqa, roborefer) |
| |
| These previews are intended for **schema inspection only**. For training, use the full `mid_training_video/` and `spatial/` shards. |
| |
